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SGPropertyIntel
CondominiumFreeholdOutside Central RegionInvestment score 42

Rosalia Park

LORONG ONG LYE · D19

Median PSF · 12m

Median price · 12m

Latest sale

S$1.41M

Aug 2025

1-year change

Sales · 12m

0

8 all time

Gross yield

3.33%

9 leases

Price history

How this development has traded

Median transacted price and price per square foot by quarter, from every sale on record here.

Change over window
-2.3%
Annualised
-1.6%
Transactions
8
1 year
3 years p.a.
5 years p.a.
Median size
1,475 sqft

Against the neighbourhood

How it compares within D19

Serangoon Gardens, Hougang, Punggol, Sengkang. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureRosalia ParkD19 medianDifference
Median PSFS$1,626
Median priceS$1.57M
Gross rental yield3.33%3.44%-0.1 pts
1-year price change+4.8%

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$3,900

Contracts · 12m

9

Implied annual rent

S$47K

Gross yield

3.33%

Unit typeContractsMedian rent
2 bedroom5S$3,900
3 bedroom4S$4,150

Investment analysis

Investment score 42 / 100

Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.

42/100

60% of the scoring weight measurable

Every bar is a percentile rank, so 70 means this development sits above roughly 70% of its peers on that factor. Factors we cannot measure are excluded and the remaining weights are rebalanced, rather than scored as zero.

  • Locationweight 15%60

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Bartley MRT at 550 m.

  • Rental yieldweight 20%57

    Gross yield against every other development in its segment.

  • Supply riskweight 10%46

    Upcoming units recorded in the same district. Higher score means less competing supply.

  • Liquidityweight 15%0

    Transactions in the last 12 months — how easily it trades.

  • Valuationweight 22%not measurable

    How its median price per square foot compares with its own district.

  • Price momentumweight 18%not measurable

    Three-year annualised change in median PSF, or one year where three is unavailable.

Not enough data to score valuation, price momentum.

The investment score is an analytical indicator computed from transaction and location data. It is not a recommendation, a forecast, or financial advice.

Location

Nearby amenities

Rail stations

  • Bartley MRT550 m
  • Serangoon MRT700 m
  • Serangoon Interchange MRT770 m
  • Woodleigh MRT1.3 km

Schools within 2 km

  • St. Gabriel'S Secondary Schoolsecondary (s1-s5)360 m
  • Paya Lebar Methodist Girls' School (Primary)primary690 m
  • Maris Stella High Schoolmixed level (p1-s4)720 m
  • Paya Lebar Methodist Girls' School (Secondary)secondary (s1-s5)760 m
  • Bartley Secondary Schoolsecondary (s1-s5)1.0 km
  • Zhonghua Secondary Schoolsecondary (s1-s5)1.1 km

Distances are straight-line. Proximity does not determine school admission eligibility.

Supply

Upcoming competition

  • JANSEN HOUSEMequity GS Pte Ltd21 units1.4 km
  • Chuan ParkChuan Park Development Pte Ltd · TOP 2027916 units1.6 km
  • CHUAN PARKChuan Park Development Pte. Ltd.916 units1.6 km

High upcoming supply nearby may increase competition for tenants and buyers.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Aug 2025CondominiumS$1,405,0001,119 sqftS$1,25501-05
May 2025CondominiumS$1,470,0001,152 sqftS$1,27601-05
Aug 2024CondominiumS$1,958,0001,690 sqftS$1,15901-05
Aug 2024CondominiumS$1,890,0001,475 sqftS$1,28201-05
Apr 2024CondominiumS$1,825,0001,475 sqftS$1,23801-05
Apr 2024CondominiumS$1,760,0001,518 sqftS$1,16001-05
Aug 2023CondominiumS$1,838,0001,690 sqftS$1,08801-05
Jun 2023CondominiumS$1,480,0001,152 sqftS$1,28501-05

Important

Property values shown are estimates generated from available transaction and market data and are not official valuations. Actual transaction prices may differ. Data availability and accuracy depend on the underlying source datasets. Users should conduct their own due diligence and seek professional advice where appropriate.